CN107357856B - Method for realizing data integration and data service based on power grid panoramic service model - Google Patents
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Abstract
The invention discloses a method for realizing data integration and data service based on a power grid panoramic service model, and relates to the technical field of power grid system informatization. The method for realizing data integration and data service based on the power grid panoramic business model is characterized in that data of all business systems, all level systems and all department systems are dispatched, a modeling tool and a data extraction tool are unified, and data are collected and processed to provide data service in a micro-service architecture mode; the invention relies on a power grid panoramic service model, realizes the integration of scheduling domain data, overcomes barriers among various service application systems, establishes a uniform and standard scheduling data market, provides uniform data support for a report module and other application modules, avoids the problems of inaccurate, non-unique and non-uniform information data of a power grid system, and provides a high-efficiency and convenient data management function.
Description
Technical Field
The invention belongs to the technical field of power grid system informatization, and particularly relates to a method for realizing data integration and data service based on a power grid panoramic business model.
Background
With the continuous and deep application of information technology in the field of power grid dispatching operation, the access of each service system planned and constructed is continuously increased, and the association of each service is more and more intimate. In addition, the development of power grid services and the improvement of management requirements are increased, the requirements for information sharing and cooperation among service applications, between scheduling and other departments of a company and between upper and lower scheduling mechanisms are higher and higher, and the problems of difficult information sharing, incapability of managing and controlling data, island form and the like are more and more prominent. In order to meet the requirements of power grid service development and fine management of scheduling operation, a data support platform capable of integrating and managing various information such as a multi-level scheduling power grid model, data and graphics is urgently needed, the high-efficiency application analysis of a large-scale complex power grid is met, technical support is provided for each application system, the analysis and evaluation of system operation data are realized on the basis, a data basis is provided for other comprehensive data applications, and the main requirement analysis is as follows:
1. various data are dispersed in each business system, and partial systems lack mechanisms and means for integrating the data due to the fact that the systems are not open, the data are difficult to be comprehensively utilized, support cannot be well provided for decision analysis, the return rate of system investment is low, the data of each business system need to be effectively fused, centralized and unified management is carried out, the data are converted into valuable information, and unified data support is provided for related business application.
2. The communication mode is various, and the stipulation is eight, and mostly need independent communication channel, require highly and communication operation, maintenance, management complicacy to communication resource. The network and point-to-point interaction mode is backward, data service is difficult to manage, relationship and continuous operation and maintenance are difficult to clear with the increase of information systems, service encapsulation and standard interface development are carried out according to a standardized interface mode of an operation service bus to establish a data acquisition, verification and processing platform, interconnection, intercommunication and interoperation of systems at all levels are realized, seamless integration of 6+1 and scheduling of the existing service system is realized, and unified resource sharing and coordinated control among the systems and between the upper level and the lower level are improved, so that transverse cooperation and longitudinal communication are realized.
3. The whole scheduling service domain lacks a unified information model, the data and service reuse rate is low, when data or application interaction requirements exist, brand-new development is often needed, the same or similar service data are repeatedly maintained in a plurality of systems, the workload is high, the consistency is poor, the data are uniformly collected through building a standard data model, the standard and a control mode are unified, and different data regions are controlled and provided for application in different scheduling grades.
4. Data are externally provided with applications through different service modes, accuracy of data sources cannot be guaranteed, data quality is uneven, integrated control over data quality and data applications is lacked, reliability of the data cannot be guaranteed, a data quality tracking service needs to be established, data acquisition and application are tracked, a data quality problem tracking report is acquired through association with a data quality detection and data quality audit platform, support is provided for accurate data extraction, and effectiveness and accuracy of the data are guaranteed.
5. At present, data are repeated from multiple sources, effective summarization and analysis services cannot be provided, a unified statistic summarization analysis service needs to be established, unified management of the data is realized, one data, one inlet, one outlet and multi-stage application are really realized, related data are automatically obtained from multiple heterogeneous data sources, validity verification is carried out according to the attribute relationship of the data, the operation modes of automatic calculation, statistics, summarization and automatic definition are realized, and the requirements of different service scene applications and different service domain application are met.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for realizing data integration and data service based on a power grid panoramic business model, which is characterized in that data of all business systems, all levels of systems and all departments are dispatched, unified modeling tools and data extraction tools are adopted, and data are collected and processed to provide data service in a micro-service architecture mode; the data of all service systems, all levels of systems and all department systems can be effectively and accurately fused together, data service according with data uniqueness is provided, and the problems that information data of a power grid system is inaccurate, not unique and not uniform are solved.
The invention solves the technical problems through the following technical scheme: a method for realizing data integration and data service based on a power grid panoramic service model comprises the following steps:
(1) establishing a unified power grid information model, and performing standard modeling: the unified power grid information model is informationized by using an object-oriented concept, a model structure is established by using a modeling language expression method through a modeling tool, a model physical table is generated, and the unified power grid information model is defined into a group of packages;
(2) extracting multi-system data: through the establishment of the power grid information model and the generation of the physical table structure which are completed in the step (1), the unified extraction work of the multi-system data is realized; determining the content of system integration data, extracting data in each service system, each level system and each department system, completing data integration, enabling the integrated data to meet the data requirements of a power grid information model, and providing data support for subsequent micro-service access;
(3) deployment of the microservice: the method comprises the following steps of developing a data support platform by adopting a micro-service architecture, and decomposing complex business and huge single application into a plurality of relatively small services for development; in the case where the original functionality provided is unchanged, the application is broken down into a number of manageable branches or services; so as to solve the complex or heterogeneous deployment environment and provide favorable conditions for subsequent maintenance; and starting the micro-service;
(4) micro-service access: the micro-service access is used for providing data service for the outside, and power grid information data of multiple systems are obtained by accessing the micro-server; the micro-service access comprises authority authentication and service access, and when the micro-service is subjected to data access, identity verification is required to be performed so as to prevent data information from being leaked and maliciously accessed, and the safety and normal access of the data information are ensured.
Further, the modeling tool in the step (1) adopts a UM L modeling tool.
Further, the power grid information model in the step (1) comprises a power grid resource package, an asset equipment package, a power consumption customer package, a topology connection package, a measurement resource package and a public support package; the Power grid Resource package is used for describing the relationship among substations, lines and transformers in a Power grid and is represented by taking Power System Resource (Power System Resource) objects as cores; the Asset equipment package is used for describing assets and relationships between the assets and functional positions and is represented by taking Asset (Asset) objects as cores; the power utilization customer package is used for describing the relationship between the transformer and the customer in the power grid; the topology connection package is used for describing the connection relation between the conductive devices in the power grid; the measurement resource package is used for describing the relation between the operation data in the power grid and the power grid resources; the common support package is used for providing classes for organization, location, etc. to be used by other packages and global data type definitions.
Further, the step (1) comprises the following substeps:
1.1, establishing an entity class and a virtual class, establishing entity identifiers, Chinese identifiers, English names and the like of the entity class and the virtual class, selecting a parent entity, and enabling the entity class and the virtual class to inherit all attributes of the parent entity without reconstruction, establishing attribute identifiers, Chinese identifiers, English identifiers, descriptions, data types, lengths, precision, whether a main key is unique, whether the main key is not empty or not, whether the main key is displayed in a model or not, establishing entity relationship classification such as aggregation, self-aggregation, inheritance and relationship, and establishing the relationship types such as 1-1, 1-N, 0-1 and the like;
1.2, generating a model physical table, namely releasing a new version of the input and edited power grid information model data, wherein the released version is used for establishing a physical table model and providing a power grid information model basis for data service; selecting a server where the data are located to generate a model physical table, wherein the model physical table is used for storing a table structure of the data; the model reflection provides the requirement of uniform export of the report forms, and the model reflection generates a maintainable interface model by adopting a physical table reflection technology for the existing data structure, wherein the interface model is used for providing a basis for the micro-service;
1.3, establishing a data quality check strategy: establishing a rule template according to service constraint, for example, a network area meets a highest value, a line bearing capacity maximum value and the like; inputting a check rule according to business requirements, wherein the recording time is less than filing time, or selecting from a rule template; the data quality is checked according to the service requirement, for example, the data quality check is executed once every day, every month or every half hour, and the data quality check strategy is provided by adopting a micro-service mode; outputting a verification result of data quality verification to a corresponding log, and recording information such as the number of data which do not accord with a verification rule in detail in the log, so as to provide a basis for alarm information and guarantee the accuracy and uniqueness of the data;
sequentially inputting IEC61970 in the power grid information model through the steps: : core (Core), IEC 61970: : measurement (Meas), IEC 61970: : topology (Topology), IEC 61970: : electric wire (wirees), IEC 61970: : protection (Protection), IEC 61968: : common (Common), IEC 61968: : the asset (Assets) packages model class data, attributes, and their associations.
Further, the multisystem data extraction in the step (2) adopts an ET L tool.
Further, the multiple systems in the step (2) include provincial dispatching OCS systems, each regional OCS system, DMIS systems, energy-saving power generation dispatching systems, water dispatching automation systems, meteorological comprehensive systems and all-level PMS systems.
Further, the step (2) comprises the following substeps:
2.1 configuring data sources: the data source management module realizes the management function of data source connection information, realizes the connection of the data source by configuring information such as IP, user name, password and the like, realizes the functions of adding, modifying and deleting the data source, and supports the connection of data sources of Oracle, Mysql, easy whale, SqlServer, Sybase, Ftp and the like; sequentially inputting source data sources of each service system, each level system and each door system, and then inputting target data source information of the data support platform;
2.2 data table management: the data sheet management realizes the management function of collecting data sheet information, and carries out classification management according to a data source and a target library, and the data sheet management also comprises the functions of adding and deleting a data sheet and creating a target sheet; sequentially selecting a data table of a system to be extracted from a source data source, and generating source data table information after selecting a target source as a data support platform; generating a data support platform target table according to the requirement of a source data table, and adding and selecting database addresses of each system to be acquired in a data source of a data table management function; adding a database address of a selected data support platform in a target database, and executing the operation of creating a target table;
2.3 task scheduling configuration: the task scheduling configuration is used for scheduling the task configuration and executing the type, the executing time, the timing time and other information; filling a scheduling name in a newly-added scheduling page, selecting trigger time and execution time, and selecting and using the scheduling task in a data task after the scheduling task is configured;
2.4, a structured data task, namely realizing a management function of a collection loading task of structured data by the structured data task, supporting a mode of extracting according to an original table of a data table, supporting complex SQ L query of the data table and dynamic table query of a user-defined SQ L extraction function mode, sequentially adding tasks, selecting the data table needing to be added with the tasks, selecting execution nodes, setting scheduling time and a writing mode according to actual requirements, and completing operation after selecting options;
2.5 unstructured data tasks: the unstructured data task module realizes the management function of the collection and loading tasks of unstructured data and supports the transmission of unstructured data between FTP and local or between FTP and FTP;
and 2.6, integrating data, namely analyzing and integrating the data extracted into the data support platform library by using an SQ L statement on the basis of the power grid system service, converting the data into a data form meeting the requirement of a unified power grid information model, and inserting the data into a physical table structure corresponding to the model to finish data integration.
Further, the step (3) comprises the following substeps:
3.1 starting a resource service manager;
3.2 starting and deploying the authority management micro-service;
3.3 starting and deploying the metadata micro-service;
3.4 starting and deploying the data service microservice;
3.5 starting and deploying the micro service gateway;
3.6 starting and deploying data quality check micro service;
through the steps, the start of the micro service is completed, and the micro service automatically provides data service access according to the power grid information model for other systems to call; after the power grid information model is newly added or the release version is changed every time, the micro-service automatically provides data access according to the model modeling information without manual interference, and favorable conditions are provided for subsequent service expansion integration.
Further, the microservice access in the step (4) provides two data forms, namely XM L format data based on SOAP and RESTful format data based on HTTP protocol.
Compared with the prior art, the method for realizing data integration and data service based on the power grid panoramic business model, provided by the invention, has the advantages that data of all business systems, all levels of systems and all departments are dispatched, a modeling tool and a data extraction tool are unified, and data are collected and processed to provide data service in a micro-service architecture mode; the method depends on a power grid panoramic service model, realizes the integration of scheduling domain data, overcomes barriers among various service application systems, establishes a uniform and standard scheduling data market, provides uniform data support for a report module and other application modules, avoids the problems of inaccurate, non-unique and non-uniform information data of the power grid system, and provides a high-efficiency and convenient data management function; according to the invention, a power grid dispatching maintenance worker can quickly generate a unified power grid information model only by simple operation and release data service by depending on the model; under the condition that information modification is needed, only simple modification is needed to be carried out on model information, service is automatically generated without re-developing a service interface, and the workload of power grid dispatching maintenance personnel and information system management personnel is reduced.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only one embodiment of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
FIG. 1 is a schematic diagram of the structure of the core classes and their relationships of the grid resource package of the present invention;
FIG. 2 is a schematic diagram of a device asset relationship structure of an asset device package of the present invention;
FIG. 3 is a schematic diagram of a relationship between a customer and a device of the electricity customer package according to the present invention;
FIG. 4 is a schematic diagram of a relationship between measurement of a measurement resource package and a power system resource according to the present invention;
fig. 5 is a schematic diagram of the topology relationship structure and the devices of the topology connection packet according to the present invention.
Detailed Description
The technical solutions in the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The basic idea of the implementation method of data integration and data service based on the power grid panoramic service model is as follows:
1. and checking and analyzing the modeling content, the model structure and the classification basis of the unified power grid information model and checking the incidence relation among the classes, analyzing the attribute information content by the model structure, and analyzing the difference after the modeling tool is converted into a physical table model of the computer.
2. And analyzing the data scattering positions of the systems where the various attributes are located according to the information content of the model, checking and determining the principle of extracting a data source, and realizing the regular collection and updating of data by using a data extraction tool.
3. Analyzing a data integration principle according to the model information providing content and the bias point of the service among the systems; and (4) sorting and analyzing the difference of data among the systems, for example, the asset information is basically stored in PMS systems at all levels, and the data of data scheduling OCS systems in 500kV and 220kV are the most accurate.
4. Thinking how to provide services according to the model, and generating the data access micro-service of the loosely-coupled architecture which is easy to develop, manage and maintain and conforms to the software development spirit after the corresponding computer physical table model is obtained when the model changes.
The invention provides a method for realizing data integration and data service based on a power grid panoramic service model, which comprises the following steps:
(1) establishing a unified power grid information model, namely performing standard modeling, namely informationizing the unified power grid information model by using an object-oriented concept, expressing the unified power grid information model by using a unified modeling language UM L through a UM L modeling tool, and defining the unified power grid information model into a group of packages;
(2) determining the content of system integration data, extracting data in each service system, each level system and each department system, completing data integration, enabling the integrated data to meet the data requirements of the power grid information model, and providing data support for subsequent micro-service access;
(3) deployment of the microservice: the method comprises the following steps of developing a data support platform by adopting a micro-service architecture, and decomposing complex business and huge single application into a plurality of relatively small services for development; in the case where the original functionality provided is unchanged, the application is broken down into a number of manageable branches or services; and starting the micro-service; so as to solve the complex or heterogeneous deployment environment and provide favorable conditions for subsequent maintenance;
(4) micro-service access: the micro-service access is used for providing data service for the outside, and power grid information data of multiple systems are obtained by accessing the micro-server; the micro-service access comprises authority authentication and service access, and when data access is performed on the micro-service, identity verification is required to be performed so as to prevent data information from being leaked and maliciously accessed and ensure the safety and normal access of the data information;
example 1, micro-service access was performed using the following format:
<SOAP-ENV:Envelope xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/" xmlns:mdm="http://mdm.com">
<SOAP-ENV:Header/>
<SOAP-ENV:Body>
<mdm:SrchRecord>
<mdm:MDMReqHeader>
<mdm:UserInfo>
<mdm:Username>zhangsan</mdm:Username>
<mdm:Token>d8712a0e8c49dc77c688f107d37972f8</mdm:Token>
</mdm:UserInfo>
<mdm:Page>1</mdm:Page>
</mdm:MDMReqHeader>
<mdm:MDMReqBody>
<mdm:SrchClause>
<mdm:Objectuid>basevoltage</mdm:Objectuid>
</mdm:SrchClause>
</mdm:MDMReqBody>
</mdm:SrchRecord>
</SOAP-ENV:Body>
</SOAP-ENV:Envelope>
the power grid information model in the step (1) comprises a power grid resource package, an asset equipment package, a power utilization customer package, a topology connection package, a measurement resource package and a public support package; the Power grid Resource package is used for describing the relationship among substations, lines and transformers in a Power grid and is represented by taking Power System Resource (Power System Resource) objects as cores; the Asset equipment package is used for describing assets and relationships between the assets and functional positions and is represented by taking Asset (Asset) objects as cores; the power utilization customer package is used for describing the relationship between equipment and customers in the power grid; the topology connection package is used for describing the connection relation between the conductive devices in the power grid; the measurement resource package is used for describing the relation between the operation data in the power grid and the power grid resources; the public support package is used for providing classes for organizations, positions and the like to be used by other packages and global data type definitions;
as shown in fig. 1 to 5, each package includes one or more class diagrams, which graphically illustrate all classes and their relationships in the package; then defining each class in a text form according to the attributes of the classes and the relation with other classes; the model standardization incidence relation among all classes is realized, and the association modes of generalization, aggregation and self-aggregation are supported.
The step (1) comprises the following substeps:
1.1, establishing an entity class and a virtual class, establishing entity identifiers, Chinese identifiers, English names and the like of the entity class and the virtual class, selecting a parent entity, and inheriting all attributes of the parent entity by the entity class and the virtual class without re-establishing, establishing attribute identifiers, Chinese identifiers, English identifiers, descriptions, data types, lengths, precision, whether a main key is unique, whether the main key is not empty or not, whether the main key is displayed in a model or not, establishing entity relationship classification such as aggregation, self-aggregation, inheritance and relationship, wherein the relationship types are 1-1, 1-N, 0-1 and the like;
1.2, generating a model physical table, namely releasing a new version of the input and edited power grid information model data, wherein the released version is used for establishing a physical table model and providing a power grid information model basis for data service; selecting a server where the data are located to generate a model physical table, wherein the model physical table is used for storing a table structure of the data; the model reflection provides the requirement of uniform export of the report forms, and the model reflection generates a maintainable interface model by adopting a physical table reflection technology for the existing data structure, wherein the interface model is used for providing a basis for the micro-service;
1.3, establishing a data quality check strategy: establishing a rule template according to service constraint, for example, a network area meets a highest value, a line bearing capacity maximum value and the like; inputting a check rule according to business requirements, wherein the recording time is less than filing time, or selecting from a rule template; the data is checked according to the business requirements, such as data checking is executed every day, every month or every half hour, and a data quality checking strategy is provided in a micro-service mode; outputting a verification result of data quality verification to a corresponding log, and recording information such as the number of data which do not accord with a verification rule in detail in the log, so as to provide a basis for alarm information and guarantee the accuracy and uniqueness of the data;
sequentially inputting IEC61970 in the power grid information model through the steps: : core (Core), IEC 61970: : measurement (Meas), IEC 61970: : topology (Topology), IEC 61970: : electric wire (wirees), IEC 61970: : protection (Protection), IEC 61968: : common (Common), IEC 61968: : the asset (Assets) packages model class data, attributes, and their associations.
The multiple systems in the step (2) comprise provincial dispatching OCS systems, each regional OCS system, DMIS systems, energy-saving power generation dispatching systems, water dispatching automation systems, meteorological comprehensive systems and all levels of PMS systems.
The step (2) comprises the following substeps:
2.1, configuring a data source, namely, realizing a management function of data source connection information by a data source management module of an ET L tool, realizing connection of the data source by configuring information such as IP, user name, password and the like, realizing the functions of adding, modifying and deleting the data source, supporting the connection of data sources of Oracle, Mysql, easy whale, SqlServer, Sybase, Ftp and the like, sequentially inputting source data sources of each service system, each level system and each door system, and then inputting target data source information of a data support platform;
2.2 data table management: the data sheet management realizes the management function of collecting data sheet information, and carries out classification management according to a data source and a target library, and the data sheet management also comprises the functions of adding and deleting a data sheet and creating a target sheet; sequentially selecting a data table of a system to be extracted from a source data source, and generating source data table information after selecting a target source as a data support platform; generating a data support platform target table according to the requirement of a source data table, and adding and selecting database addresses of each system to be acquired in a data source of a data table management function; adding a database address of a selected data support platform in a target database, and executing the operation of creating a target table;
2.3 task scheduling configuration: the task scheduling configuration is used for scheduling the task configuration and executing the type, the executing time, the timing time and other information; filling a scheduling name in a newly-added scheduling page, selecting triggering time as 12 nights, selecting execution time as daily execution, and selecting the scheduling task for use in a data task after the scheduling task is configured;
2.4, a structured data task, namely realizing a management function of acquiring and loading a task of structured data by the structured data task, supporting a mode of extracting according to an original table of a data table, supporting complex SQ L query of the data table and dynamic table query of a user-defined SQ L extraction function mode, sequentially adding the tasks, selecting the data table needing to be added with the tasks, selecting an execution node, setting scheduling time as 12 o' clock at night according to actual requirements, setting a writing mode as intelligent insertion, and completing operation after selection of options;
the ET L tool extracts the structured data of each system data source automatically at 12 o' clock at night into the data support platform library, and the extracted data are integrated and converted in the subsequent steps and then stored into the model data table;
2.5 unstructured data tasks: the unstructured data task module realizes the management function of the collection and loading tasks of unstructured data and supports the transmission of unstructured data between FTP and local or between FTP and FTP;
because the quasi-real-time data exists in the described system, the storage mode of the system data is mostly stored in an E file format, so that the ET L tool particularly supports the release of unstructured data tasks, and E-format files in each system are transmitted to a data support platform and then are analyzed and converted into structured data;
2.6, integrating data, namely analyzing and integrating the data extracted into the data support platform library by using SQ L statements on the basis of the power grid system service, converting the data into a data form meeting the requirement of a unified power grid information model, and inserting the data into a physical table structure corresponding to the model to finish data integration;
according to the contents of the model class package and the attributes, the scattered positions of the physical table structures of the systems are combed, the service characteristics and the data structures of the systems are arranged, and the integrated data are cleaned; by eliminating error and invalid data in the original data and converting the original data according to a uniform data model, credible, usable and reliable data are provided for subsequent application.
Example 2, taking the principle of data cleaning integration between the OCS system and the PMS system as an example:
determining the specification requirement of a general principle based on a power grid panoramic service model, taking an OCS system as a reference and a PMS system as a supplement, and performing data integration, conversion and processing according to the power grid panoramic service model, wherein the specification requirement specifically comprises the following steps:
2.6.1 acquiring all equipment information of a large user, a power plant and a traction station from an OCS (online charging system) to ensure the integrity of the data;
2.6.2 major types of the ultrahigh-voltage and 220-kV transformer substation and the line have repeatability due to the fact that an OCS system and a PMS system exist at the same time, the OCS system is taken as a main part, plant name and line name information of the ultrahigh-voltage and 220-kV transformer substation is obtained from the OCS system, equipment names and parameter information of the three major types are obtained from the PMS system, and uniqueness and integrity of the information are guaranteed;
2.6.3 station and equipment information which other OCS systems do not have, such as 110kV substation information, is all obtained from the PMS system;
2.6.4, the device information obtained from the PMS system reserves the device naming field, adds the scheduling naming field and carries out unified refreshing according to the scheduling naming rule;
2.6.5 maintaining the station information at two ends of the line, and specifically acquiring the station information at two ends from the PMS to supplement the station information to the line information;
2.6.6 establishing a factory station name table of the OCS system, if new factory stations and circuits are added, taking the table as a unique source of the factory stations, and updating the equipment information of the PMS system according to the table;
the method can integrate the DMIS system, the energy-saving power generation dispatching system, the water regulation automation system, the meteorological integrated system and the power grid metering automation system, and after data is cleaned and integrated, the SQ L statement is inserted into the model table structure to complete data integration of all systems.
The step (3) comprises the following substeps:
3.1 starting deployment resource service manager
The start command is:
nohup java -jar/home/etl/migrate/diaodu/mforcecload/mforce-registry-2.0.0.war --config.location=/home/etl/migrate/diaodu/mforcecload/central-config>registry.out 2>&1
nohup java -jar
3.2 starting deployment Authority management micro-service
The start command is:
/home/etl/migrate/diaodu/mforcecload/mforce-authserver-2.0.0.war--config.host=127.0.0.1>authserver.out 2>&1&
3.3 launching deployment metadata microservices
The start command is:
nohup java -jar /home/etl/migrate/diaodu/mforcecload/mforce-metadata-ms-2.0.0.jar--config.host=127.0.0.1>metadata-ms.out 2>&1&
3.4 initiating deployment of data service microservices
The start command is:
nohup java -jar /home/etl/migrate/diaodu/mforcecload/mforce-dataservice-ms-2.0.0.jar --config.host=127.0.0.1>dataservice-ms.out 2>&1&
3.5 starting deployment of microservice gateway
The start command is:
nohup java -jar /home/etl/migrate/diaodu/mforcecload/mforce-gateway-2.0.0.war --config.host=127.0.0.1 --server.port=8084>gateway.out 2>&1&
3.6 initiating deployment of data quality check microservices
The start command is:
nohup java -jar /home/etl/migrate/diaodu/mforcecload/mforce-qualitycheck-ms-2.0.0.jar --config.host=127.0.0.1 --qc.tmp=/home/etl/migrate/diaodu/mforcecload/tmp/>qualitycheck-ms.out 2>&1&
through the steps, the start of the micro service is completed, and the micro service automatically provides data service access according to the power grid information model for other systems to call; after the power grid information model is newly added or the release version is changed every time, the micro-service automatically provides data access according to the model modeling information without manual interference, and favorable conditions are provided for subsequent service expansion integration.
After the above steps are completed, the micro service is ready for use, but since the micro service is not subjected to security authentication, the service interface has the possibility of being maliciously accessed, and therefore, the access authority authentication is required to ensure normal data access.
The micro-service access in the step 4 provides two data forms, namely XM L format data based on SOAP with higher security level and RESTful format data based on HTTP protocol with higher flexibility.
Example 3, XM L format:
<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/">
<SOAP-ENV:Header xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/"></SOAP-ENV:Header>
<soap:Body>
<SrchRecordResponse xmlns="http://mdm.com">
<Result>
<MDMRespHeader>
<Messages>
<RespMsg/>
<RespCode>Y</RespCode>
</Messages>
<TotalPage>5</TotalPage>
<Page>1</Page>
<TotalRows>100</TotalRows>
</MDMRespHeader>
<FIELD>
<KEY>ISDC</KEY>
<VALUE/>
</FIELD>
<FIELD>
<KEY>NOMINALVOLTAGE</KEY>
<VALUE>30</VALUE>
</FIELD>
<FIELD>
<KEY>OCSID</KEY>
<VALUE/>
</FIELD>
<FIELD>
<KEY>ALIASNAME</KEY>
<VALUE>±30V</VALUE>
</FIELD>
<FIELD>
<KEY>DESCRIPTION</KEY>
<VALUE/>
</FIELD>
<FIELD>
<KEY>LOCALNAME</KEY>
<VALUE/>
</FIELD>
<FIELD>
<KEY>MRID</KEY>
<VALUE>67</VALUE>
</FIELD>
<FIELD>
<KEY>NAME</KEY>
<VALUE>±30V</VALUE>
</FIELD>
<FIELD>
<KEY>PATHNAME</KEY>
<VALUE/>
</FIELD>
<FIELD>
<KEY>ROWNUM_</KEY>
<VALUE>40</VALUE>
</FIELD>
</Record>
</MDMRespBody>
</Result>
</SrchRecordResponse>
</soap:Body>
</soap:Envelope>
example 4, restdu L format:
{"result":{"mdmrespHeader":{"messages":{"respMsg":"","respCode":"Y"},"page":"1","totalPage":"5","totalRows":"100"},"mdmrespBody":{"record":[{"objectuid":null,"field":[{"key":"ID","value":"26"},{"key":"ISDC","value":""},{"key":"NOMINALVOLTAGE","value":"1.5"},{"key":"OCSID","value":""},{"key":"ALIASNAME","value":"±1.5V"},{"key":"DESCRIPTION","value":""},{"key":"LOCALNAME","value":""},{"key":"MRID","value":"57"},{"key":"NAME","value":"±1.5V"},{"key":"PATHNAME","value":""},{"key":"ROWNUM_","value":"21"}],"subRecord":[]},{"objectuid":null,"field":[{"key":"ID","value":"30"},{"key":"ISDC","value":""},{"key":"NOMINALVOLTAGE","value":"2"},{"key":"OCSID","value":""},{"key":"ALIASNAME","value":"±2V"},{"key":"DESCRIPTION","value":""},{"key":"LOCALNAME","value":""},{"key":"MRID","value":"58"},{"key":"NAME","value":"±2V"},{"key":"PATHNAME","value":""},{"key":"ROWNUM_","value":"22"}],"subRecord":[]},{"objectuid":null,"field":[{"key":"ID","value":"34"},{"key":"ISDC","value":""},{"key":"NOMINALVOLTAGE","value":"2.4"},{"key":"OCSID","value":""},{"key":"ALIASNAME","value":"±2.4V"},{"key":"DESCRIPTION","value":""}"}],"subRecord":[]}]}}}。
the above disclosure is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or modifications within the technical scope of the present invention, and shall be covered by the scope of the present invention.
Claims (7)
1. A method for realizing data integration and data service based on a power grid panoramic service model is characterized by comprising the following steps: the method comprises the following steps:
(1) establishing a unified power grid information model, and performing standard modeling: the unified power grid information model is informationized by using an object-oriented concept, a model structure is established by using a modeling language expression method through a modeling tool, a model physical table is generated, and the unified power grid information model is defined into a group of packages;
the modeling tool adopts a UM L modeling tool;
the method specifically comprises the following substeps:
1.1, establishing an entity class and a virtual class, establishing entity identifiers, Chinese identifiers and English names of the entity class and the virtual class, selecting a parent entity, and inheriting all attributes of the parent entity by the entity class and the virtual class without re-establishing;
1.2 generating a model physical table: the edited power grid information model data is input and released into a new version, and the released version is used for building a physical table structure and providing a power grid information model basis for data service; selecting a server where the data are located to generate a model physical table, wherein the model physical table is used for storing a table structure of the data; the model reflection provides the requirement of uniform export of the report forms, and the model reflection generates a maintainable interface model by adopting a physical table reflection technology for the existing data structure, wherein the interface model is used for providing a basis for the micro-service;
1.3, establishing a data quality check strategy: creating a rule template according to the service constraint; inputting a check rule according to the service requirement, or selecting from a rule template; verifying the data quality according to the service requirement, wherein a data quality verification strategy is provided by adopting a micro-service mode; outputting a verification result of data quality verification to a corresponding log, and recording the number of data which do not accord with the verification rule in detail in the log;
(2) extracting multi-system data: through the establishment of the power grid information model and the generation of the physical table structure which are completed in the step (1), the unified extraction work of the multi-system data is realized; determining the content of system integration data, extracting data in each service system, each level system and each department system, completing data integration, enabling the integrated data to meet the data requirements of a power grid information model, and providing data support for subsequent micro-service access;
(3) deployment of the microservice: the method comprises the following steps of developing a data support platform by adopting a micro-service architecture, and decomposing complex business and huge single application into a plurality of relatively small services for development; in the case where the original functionality provided is unchanged, the application is broken down into a number of manageable branches or services; and starting the micro-service;
(4) micro-service access: the micro-service access is used for providing data service for the outside, and power grid information data of multiple systems are obtained by accessing the micro-server; the micro-service access comprises authority authentication and service access, and identity verification is required when the micro-service is subjected to data access.
2. The method for implementing data integration and data service based on the power grid panoramic service model according to claim 1, characterized in that: the power grid information model in the step (1) comprises a power grid resource package, an asset equipment package, a power utilization customer package, a topology connection package, a measurement resource package and a public support package; the power grid resource package is used for describing the relationship among substations, lines and transformers in a power grid and is represented by taking power system resource objects as cores; the asset equipment package is used for describing assets and the relation between the assets and the functional position and is represented by taking asset objects as cores; the power utilization customer package is used for describing the relationship between the transformer and the customer in the power grid; the topology connection package is used for describing the connection relation between the conductive devices in the power grid; the measurement resource package is used for describing the relation between the operation data in the power grid and the power grid resources; the common support package is used for providing organization, classes for other packages and global data type definitions.
3. The method for realizing data integration and data service based on the power grid panoramic business model as claimed in claim 1, wherein the multisystem data extraction in the step (2) adopts an ET L tool.
4. The method for implementing data integration and data service based on the power grid panoramic service model according to claim 3, characterized in that: the multiple systems in the step (2) comprise provincial dispatching OCS systems, each regional OCS system, DMIS systems, energy-saving power generation dispatching systems, water dispatching automation systems, meteorological comprehensive systems and all levels of PMS systems.
5. The method for implementing data integration and data service based on the power grid panoramic service model as claimed in claim 4, wherein: the step (2) comprises the following substeps:
2.1 configuring data sources: the data source management module realizes the management function of data source connection information, and realizes the connection of the data source by configuring IP, user name and password information; sequentially inputting source data sources of each service system, each level system and each door system, and then inputting target data source information of the data support platform;
2.2 data table management: the data table management realizes the management of the collected data table information, and carries out classification management according to a data source and a target library, and adds and deletes the data table and creates a target table; sequentially selecting a data table of a system to be extracted from a source data source, and generating source data table information after selecting a target source as a data support platform; generating a data support platform target table according to the requirement of a source data table, and adding and selecting database addresses of each system to be acquired in a data source of a data table management function; adding a database address of a selected data support platform in a target database, and executing the operation of creating a target table;
2.3 task scheduling configuration: the task scheduling configuration is used for scheduling task configuration execution type, execution time and timing time; filling a scheduling name in a newly-added scheduling page, selecting trigger time and execution time, and selecting and using the scheduling task in a data task after the scheduling task is configured;
2.4, a structured data task, namely realizing a management function of a collection loading task of structured data by the structured data task, supporting a mode of extracting according to an original table of a data table, supporting complex SQ L query of the data table and dynamic table query of a user-defined SQ L extraction function mode, sequentially adding tasks, selecting the data table needing to be added with the tasks, selecting execution nodes, setting scheduling time and a writing mode according to actual requirements, and completing operation after selecting options;
2.5 unstructured data tasks: the unstructured data task module realizes the management of the collection and loading tasks of unstructured data and supports the transmission of unstructured data between FTP and local or between FTP and FTP;
and 2.6, integrating data, namely analyzing and integrating the data extracted into the data support platform library by using an SQ L statement on the basis of the power grid system service, converting the data into a data form meeting the requirement of a unified power grid information model, and inserting the data into a physical table structure corresponding to the model to finish data integration.
6. The method for implementing data integration and data service based on the power grid panoramic service model according to claim 5, wherein the method comprises the following steps: the step (3) comprises the following substeps:
3.1 starting a resource service manager;
3.2 starting and deploying the authority management micro-service;
3.3 starting and deploying the metadata micro-service;
3.4 starting and deploying the data service microservice;
3.5 starting and deploying the micro service gateway;
3.6 starting and deploying data quality check micro service;
through the steps, the start of the micro service is completed, and the micro service automatically provides data service access according to the power grid information model for other systems to call; after the power grid information model is newly added or the release version is changed every time, the micro-service automatically provides data access according to the model modeling information.
7. The method for implementing data integration and data service based on the panoramic business model of the power grid as claimed in claim 6, wherein the microservice access in the step (4) provides two data forms, namely XM L format data based on SOAP and RESTful format data based on HTTP protocol.
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